About the Role

You will build measurable AI use cases from real customer data, from problem framing and data preparation to fine-tuning and evaluation before launch.

Responsibilities

Define problems and success metrics with customer teams.
Prepare, clean and structure data for training and RAG.
Fine-tune models using techniques such as LoRA or QLoRA.
Develop test sets and evaluations for answer quality, including Thai.
Hand over models to the LLMOps team with criteria and evaluation results.
Present findings clearly to customer executives.

Qualifications

At least 2 years of experience in data science or machine learning.
Proficiency in Python with pandas, PyTorch or Hugging Face.
A solid foundation in statistics and experimental design.
Working knowledge of SQL.
Bachelor's degree or higher in computer science, statistics, mathematics or a related field.

Preferred Qualifications

Experience with NLP or LLMs in Thai.
Experience building RAG systems or evaluation frameworks.
Publications or a Kaggle track record.

Tools and Technologies

Python
PyTorch
Hugging Face
pandas
SQL
Jupyter

Working at Zotect

Work across the full AI infrastructure stack, from data centers, networking and GPUs to model serving.
Deliver production systems for customers in Thailand, Singapore and the United States.
Work closely with leadership in an engineering-led company.
Our office is located in the Gaysorn Building on Ploenchit Road, next to BTS Chit Lom.

How to Apply

To apply, send your CV and any relevant portfolio links to hr@zotect.com with the position title in the subject line.

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